Reprocess s2d4t3

Author: iamzoltan

tutorials/W2D4_Macrolearning/W2D4_Tutorial3.ipynb

@@ -160,7 +160,7 @@
     "logging.getLogger('matplotlib.font_manager').disabled = True\n",
     "\n",
     "%matplotlib inline\n",
-    "%config InlineBackend.figure_format = 'retina' # perfrom high definition rendering for images and plots\n",
+    "%config InlineBackend.figure_format = 'retina' # perform high definition rendering for images and plots\n",
     "plt.style.use(\"https://raw.githubusercontent.com/NeuromatchAcademy/course-content/main/nma.mplstyle\")"
    ]
   },
@@ -444,7 +444,7 @@
     "\n",
     "    def __len__(self):\n",
     "        \"\"\"Calculate the length of the dataset. It is obligatory for PyTorch to know in advance how many samples to expect (before training),\n",
-    "        thus we enforced to icnlude number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n",
+    "        thus we enforced to include number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n",
     "\n",
     "        return self.num_epochs * self.num_tasks\n",
     "\n",
@@ -758,7 +758,7 @@
     "\n",
     "    def __len__(self):\n",
     "        \"\"\"Calculate the length of the dataset. It is obligatory for PyTorch to know in advance how many samples to expect (before training),\n",
-    "        thus we enforced to icnlude number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n",
+    "        thus we enforced to include number of epochs and tasks per epoch in `FruitSupplyDataset` parameters.\"\"\"\n",
     "\n",
     "        return self.num_epochs * self.num_tasks\n",
     "\n",